{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DFU6VE2ZLGCVFVCKELOTW47WFL","short_pith_number":"pith:DFU6VE2Z","canonical_record":{"source":{"id":"2507.22758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-30T15:19:38Z","cross_cats_sorted":["cs.CE","cs.LG"],"title_canon_sha256":"857433ed4dcad4ba638255b59b03634755a982c7d668c9f7296c91ee78bbe399","abstract_canon_sha256":"708a0433ec43916eab0de436f09e5ec1d76e25001e8d64cf547eb0d9aa8534fb"},"schema_version":"1.0"},"canonical_sha256":"1969ea9359598552d44a22dd3b73f62aec4b595a72528fb0e803424f38e15cce","source":{"kind":"arxiv","id":"2507.22758","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22758","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22758v1","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22758","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_12","alias_value":"DFU6VE2ZLGCV","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_16","alias_value":"DFU6VE2ZLGCVFVCK","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_8","alias_value":"DFU6VE2Z","created_at":"2026-07-05T11:45:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DFU6VE2ZLGCVFVCKELOTW47WFL","target":"record","payload":{"canonical_record":{"source":{"id":"2507.22758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-30T15:19:38Z","cross_cats_sorted":["cs.CE","cs.LG"],"title_canon_sha256":"857433ed4dcad4ba638255b59b03634755a982c7d668c9f7296c91ee78bbe399","abstract_canon_sha256":"708a0433ec43916eab0de436f09e5ec1d76e25001e8d64cf547eb0d9aa8534fb"},"schema_version":"1.0"},"canonical_sha256":"1969ea9359598552d44a22dd3b73f62aec4b595a72528fb0e803424f38e15cce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:48.437375Z","signature_b64":"IknUa9104IZrWVMTEWrGxKD0m404/ywZPY27MnfKuFq6q4g2ry7e6BdtRDBZU3Mi8JzuT8hdZJN0QSg3d7h7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1969ea9359598552d44a22dd3b73f62aec4b595a72528fb0e803424f38e15cce","last_reissued_at":"2026-07-05T11:45:48.436878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:48.436878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.22758","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:45:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GCUkvqlA3lNwNQOultOqDDtTUObb4KSp+fDAVfABk/MwMaWeiO8hQeKm6ciC9AIAMtnqLEhUYIGm8EjGEkZDCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:56:37.887369Z"},"content_sha256":"a7b159c70eef9ff52c16c23fa238ba0fd4e65dee48612d9d0bde5e18af5e7e53","schema_version":"1.0","event_id":"sha256:a7b159c70eef9ff52c16c23fa238ba0fd4e65dee48612d9d0bde5e18af5e7e53"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DFU6VE2ZLGCVFVCKELOTW47WFL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MASCA: LLM based-Multi Agents System for Credit Assessment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CE","cs.LG"],"primary_cat":"cs.CL","authors_text":"Gautam Jajoo, Pranjal A Chitale, Saksham Agarwal","submitted_at":"2025-07-30T15:19:38Z","abstract_excerpt":"Recent advancements in financial problem-solving have leveraged LLMs and agent-based systems, with a primary focus on trading and financial modeling. However, credit assessment remains an underexplored challenge, traditionally dependent on rule-based methods and statistical models. In this paper, we introduce MASCA, an LLM-driven multi-agent system designed to enhance credit evaluation by mirroring real-world decision-making processes. The framework employs a layered architecture where specialized LLM-based agents collaboratively tackle sub-tasks. Additionally, we integrate contrastive learnin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22758","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.22758/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:45:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"srJQ1VHbaZGrsG59FbPUPnG9Tm7HxtWnCzbwxg1tvlJ5br6SEpPnV0BpnWmnkIlWWn4JFqK7soMO18MOLSBjAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:56:37.887749Z"},"content_sha256":"ad9da7c9b6dd1d60ee758650c0e43488099ce4e70f78877c68cd5fe883a8ca04","schema_version":"1.0","event_id":"sha256:ad9da7c9b6dd1d60ee758650c0e43488099ce4e70f78877c68cd5fe883a8ca04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/bundle.json","state_url":"https://pith.science/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T15:56:37Z","links":{"resolver":"https://pith.science/pith/DFU6VE2ZLGCVFVCKELOTW47WFL","bundle":"https://pith.science/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/bundle.json","state":"https://pith.science/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFU6VE2ZLGCVFVCKELOTW47WFL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DFU6VE2ZLGCVFVCKELOTW47WFL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"708a0433ec43916eab0de436f09e5ec1d76e25001e8d64cf547eb0d9aa8534fb","cross_cats_sorted":["cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-30T15:19:38Z","title_canon_sha256":"857433ed4dcad4ba638255b59b03634755a982c7d668c9f7296c91ee78bbe399"},"schema_version":"1.0","source":{"id":"2507.22758","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22758","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22758v1","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22758","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_12","alias_value":"DFU6VE2ZLGCV","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_16","alias_value":"DFU6VE2ZLGCVFVCK","created_at":"2026-07-05T11:45:48Z"},{"alias_kind":"pith_short_8","alias_value":"DFU6VE2Z","created_at":"2026-07-05T11:45:48Z"}],"graph_snapshots":[{"event_id":"sha256:ad9da7c9b6dd1d60ee758650c0e43488099ce4e70f78877c68cd5fe883a8ca04","target":"graph","created_at":"2026-07-05T11:45:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.22758/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in financial problem-solving have leveraged LLMs and agent-based systems, with a primary focus on trading and financial modeling. However, credit assessment remains an underexplored challenge, traditionally dependent on rule-based methods and statistical models. In this paper, we introduce MASCA, an LLM-driven multi-agent system designed to enhance credit evaluation by mirroring real-world decision-making processes. The framework employs a layered architecture where specialized LLM-based agents collaboratively tackle sub-tasks. Additionally, we integrate contrastive learnin","authors_text":"Gautam Jajoo, Pranjal A Chitale, Saksham Agarwal","cross_cats":["cs.CE","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-30T15:19:38Z","title":"MASCA: LLM based-Multi Agents System for Credit Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22758","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a7b159c70eef9ff52c16c23fa238ba0fd4e65dee48612d9d0bde5e18af5e7e53","target":"record","created_at":"2026-07-05T11:45:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"708a0433ec43916eab0de436f09e5ec1d76e25001e8d64cf547eb0d9aa8534fb","cross_cats_sorted":["cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-30T15:19:38Z","title_canon_sha256":"857433ed4dcad4ba638255b59b03634755a982c7d668c9f7296c91ee78bbe399"},"schema_version":"1.0","source":{"id":"2507.22758","kind":"arxiv","version":1}},"canonical_sha256":"1969ea9359598552d44a22dd3b73f62aec4b595a72528fb0e803424f38e15cce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1969ea9359598552d44a22dd3b73f62aec4b595a72528fb0e803424f38e15cce","first_computed_at":"2026-07-05T11:45:48.436878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:48.436878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IknUa9104IZrWVMTEWrGxKD0m404/ywZPY27MnfKuFq6q4g2ry7e6BdtRDBZU3Mi8JzuT8hdZJN0QSg3d7h7BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:48.437375Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22758","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7b159c70eef9ff52c16c23fa238ba0fd4e65dee48612d9d0bde5e18af5e7e53","sha256:ad9da7c9b6dd1d60ee758650c0e43488099ce4e70f78877c68cd5fe883a8ca04"],"state_sha256":"6d5d0330795d8eae56da6efd793621023e6a2897474a063403fc2696b590b623"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3YEfCMyanGHQCM/vM5D9q48RJu1ogq2JRpIgkY18Nl9mG+fX0O4ErD+JpAxR4p2RPmJEqYM+5z7s/Krw31J1Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T15:56:37.889986Z","bundle_sha256":"78ad0cb2281e819df7e2cc9650421db865ff40e1141a3eba224a815b580827cc"}}